Author

Chris van der Heide

Observed names: Chris Van der Heide, Christopher Van Der Heide, Christopher van der Heide, van der Heide, Chris

Institution: The University of Melbourne

Observed institutions: International Computer Science Institute, The University of Queensland, The University of Melbourne

OpenAlex ID: A5056317705

Stochastic Normalizing Flows

2020 · Hodgkinson, Liam, van der Heide, Chris, et al. · arXiv (Cornell University) · 60

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Shadow Manifold Hamiltonian Monte Carlo.

2021 · Christopher van der Heide, Fred Roosta, et al. · International Conference on Artificial Intelligence and Statistics · 18

The Interpolating Information Criterion for Overparameterized Models

2023 · Hodgkinson, Liam, van der Heide, Chris, et al. · arXiv (Cornell University) · 17

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Gradient-enhanced deep Gaussian processes for multifidelity modeling

2024 · Viv Bone, Chris van der Heide, et al. · Journal of Computational Physics · 9

Uncertainty Quantification with the Empirical Neural Tangent Kernel

2025 · Joseph Wilson, Chris van der Heide, et al. · neural information processing systems · 8

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Feasibility Detection for Nested Codesign of Hypersonic Vehicles

2023 · Chris van der Heide, Peter Cudmore, et al. · IEEE Conference on Decision and Control (CDC) · 5

Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory

2024 · Kieran Mackle, Andrew Lock, et al. · AIAA SciTech Forum · 4

Determinant Estimation under Memory Constraints and Neural Scaling Laws

2025 · Ameli, Siavash, van der Heide, Chris, et al. · arXiv (Cornell University) · 3

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Hypersonic Glide Vehicle Shape and Trajectory Co-Design

2025 · Andrew Lock, Glen Oberman, et al. · AIAA SciTech Forum · 3

Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes

2022 · Hodgkinson, Liam, van der Heide, Chris, et al. · arXiv (Cornell University) · 3

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Stochastic Continuous Normalizing Flows: Training SDEs as ODEs

2021 · Liam Hodgkinson, Chris van der Heide, et al. · Uncertainty in Artificial Intelligence · 3

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks

2021 · Russell Tsuchida, Tim Pearce, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3

Regularity results for nonlinear elliptic systems

2016 · Christopher Van Der Heide · The University of Queensland · 3

Hypersonic Vehicle Co-Design for Multi-Stage Mission Planning

2026 · Chris van der Heide, Viv Bone, et al. · AIAA SciTech Forum · 2

Multi-Mission Codesign of a Hypersonic Vehicle Leading Edge With Heat Flux Constraints

2025 · Chris van der Heide, Andrew Lock, et al. · AIAA SciTech Forum · 2

Is the Last Layer Sufficient for Uncertainty Quantification?

2026 · Wilson, Joseph, van der Heide, Chris, et al. · arXiv (Cornell University) · 1

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Spectral Estimation with Free Decompression

2025 · Siavash Ameli, Chris van der Heide, et al. · neural information processing systems · 1

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Partial continuity for nonlinear systems with nonstandard growth and discontinuous coefficients

2017 · van der Heide, Chris · arXiv (Cornell University) · 1

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Why Heavy-Tailed Weight Spectra Predict Model Quality

2026 · Wilson, Joseph, van der Heide, Chris, et al. · arXiv (Cornell University)

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Free Decompression with Algebraic Spectral Curves

2026 · Ameli, Siavash, van der Heide, Chris, et al. · arXiv (Cornell University)

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Temperature Optimization for Bayesian Deep Learning

2024 · Ng, Kenyon, van der Heide, Chris, et al. · arXiv (Cornell University)

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A PAC-Bayesian Perspective on the Interpolating Information Criterion

2023 · Hodgkinson, Liam, van der Heide, Chris, et al. · arXiv (Cornell University)

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Works count: 24

Citation count: 146

H-index: 5

I10-index: 3